{"id":"W4409257188","doi":"10.1145/3728474","title":"Machine Learning for Blockchain Data Analysis: Progress and Opportunities","year":2025,"lang":"en","type":"article","venue":"Distributed Ledger Technologies Research and Practice","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Blockchain; Computer science; Data science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01634757,0.001499254,0.001581603,0.005334327,0.001101726,0.006301369,0.002432863,0.002062918,0.002989175],"category_scores_gemma":[0.05066245,0.0006115428,0.001108026,0.005906103,0.002559633,0.009266376,0.003964147,0.005340142,0.002312483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021457,"about_ca_system_score_gemma":0.0044194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785152,"about_ca_topic_score_gemma":0.003460994,"domain_scores_codex":[0.9914562,0.004886889,0.0003615484,0.001200199,0.001841382,0.0002537082],"domain_scores_gemma":[0.9480883,0.0382135,0.00207902,0.006872419,0.003727627,0.001019074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000251771,0.0005342857,0.02639752,0.001281119,0.0003634364,0.0002358062,0.0006641445,0.09862854,0.001674037,0.1306226,0.04837346,0.6909733],"study_design_scores_gemma":[0.00003542719,0.0000529373,0.002472352,0.000499247,0.00002610743,0.00008068049,0.0003930629,0.6600758,0.001703356,0.2967477,0.03785673,0.00005666299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05138821,0.03556724,0.8366481,0.05276756,0.0009901742,0.0004345271,0.004130844,0.003659048,0.01441424],"genre_scores_gemma":[0.4496285,0.02701705,0.5049106,0.002403829,0.002453147,0.0006475679,0.008040419,0.0005129612,0.004385808],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01634757,"threshold_uncertainty_score":0.08645529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277635246623499,"score_gpt":0.4048900394370223,"score_spread":0.2771265147746724,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}